Arduino's banner

Arduino

@arduino • 498,879 subscribers

Arduino is a global leader in open-source hardware and software, with over 30 million developers worldwide.

Shorts

We’re gearing up for the official pre-order launch of the Arduino VENTUNO Q. An AI computer designed to run LLMs and Agentic AI workloads locally at the edge without compromising performance. ⚡️ Engineers, developers, and innovators can now build AI and robotics that sense, decide, and act on their own, instantly, offline, faster. 📅 Pre-orders open August 25. Sign up to get notified the moment pre-orders go live ➡️

We’re gearing up for the official pre-order launch of the Arduino VENTUNO Q. An AI computer designed to run LLMs and Agentic AI workloads locally at the edge without compromising performance. ⚡️ Engineers, developers, and innovators can now build AI and robotics that sense, decide, and act on their own, instantly, offline, faster. 📅 Pre-orders open August 25. Sign up to get notified the moment pre-orders go live ➡️

17,823 views

Your new go-to tool from blink to think! The Arduino UNO Q combines a Qualcomm Dragonwing™ QRB2210 microprocessor and an STM32U585 microcontroller, making it the perfect dual-brain platform for your next innovation. Buy now:

Your new go-to tool from blink to think! The Arduino UNO Q combines a Qualcomm Dragonwing™ QRB2210 microprocessor and an STM32U585 microcontroller, making it the perfect dual-brain platform for your next innovation. Buy now:

37,505 views

Videos

Anya Rossi

sweetdream.ai

SweetDream.ai•Sponsored•Livecam

Watch Anya Live

Anya is streaming live right now! Join her private show and enjoy exclusive content.

Exclusive private shows

1.2k viewers online

Private Show

Join now for exclusive access

Free preview available • Premium content

The wait is over! Meet Arduino VENTUNO Q, where AI takes action. 💬 Run local LLMs like Qwen 3, Gemma 4, and Qwen 3 VLM directly on the board 🧠 NPU + CPU + GPU +MCU: Qualcomm Dragonwing IQ-8275 with up to 40 dense TOPS of AI performance and STM32H5 microcontroller for real-time control 🗄️ 16 GB RAM + 64 GB eMMC + expandable storage 🪁 Linux-powered, pre-loaded with Ubuntu OS + Zephyr RTOS 🛠️ Build AI faster using Arduino App Lab, Hugging Face, Edge Impulse, and Qualcomm AI Hub 💨 Move seamlessly from prototype to production through Works with Arduino Certification Program The first batch won’t last. Pre-order your VENTUNO Q with a free power supply and USB-C cable included! Get ready to enter a new era of Physical AI:

The wait is over! Meet Arduino VENTUNO Q, where AI takes action. 💬 Run local LLMs like Qwen 3, Gemma 4, and Qwen 3 VLM directly on the board 🧠 NPU + CPU + GPU +MCU: Qualcomm Dragonwing IQ-8275 with up to 40 dense TOPS of AI performance and STM32H5 microcontroller for real-time control 🗄️ 16 GB RAM + 64 GB eMMC + expandable storage 🪁 Linux-powered, pre-loaded with Ubuntu OS + Zephyr RTOS 🛠️ Build AI faster using Arduino App Lab, Hugging Face, Edge Impulse, and Qualcomm AI Hub 💨 Move seamlessly from prototype to production through Works with Arduino Certification Program The first batch won’t last. Pre-order your VENTUNO Q with a free power supply and USB-C cable included! Get ready to enter a new era of Physical AI:

2,237,019 views • 1 month ago

What if you could control a robotic arm simply by speaking to it? A new demo from Swiss startup Forgis explores how agentic AI on the edge can turn natural-language commands into physical action, leveraging the Arduino UNO Q board. Read our latest blog post to see what happens when voice, AI, and industrial automation come together!

What if you could control a robotic arm simply by speaking to it? A new demo from Swiss startup Forgis explores how agentic AI on the edge can turn natural-language commands into physical action, leveraging the Arduino UNO Q board. Read our latest blog post to see what happens when voice, AI, and industrial automation come together!

18,585 views • 1 month ago

The new Arduino VENTUNO Q is here to redefine Edge AI! 🚀 Visit us at Booth H3-555 @ #embeddedworld to see it in action. 🧠 Qualcomm Dragonwing IQ-8275 with NPU, CPU and GPU that delivers up to 40 dense TOPS ⚡ 16 GB RAM, 64 GB eMMC + expandable M.2 NVME Gen.4 🤝 Compatible with Arduino App Lab 🤖 Ready-to-run local LLMs, local VLM, ASR, gesture recognition and more 🛠️ Supports Arduino UNO Shields, UNO Carriers, Raspberry Pi HATs 🌐 2.5 Gbit Ethernet, Wi-Fi 6, Bluetooth, CAN-FD ⚙️ ROS 2 compatibility Sign up for updates:

The new Arduino VENTUNO Q is here to redefine Edge AI! 🚀 Visit us at Booth H3-555 @ #embeddedworld to see it in action. 🧠 Qualcomm Dragonwing IQ-8275 with NPU, CPU and GPU that delivers up to 40 dense TOPS ⚡ 16 GB RAM, 64 GB eMMC + expandable M.2 NVME Gen.4 🤝 Compatible with Arduino App Lab 🤖 Ready-to-run local LLMs, local VLM, ASR, gesture recognition and more 🛠️ Supports Arduino UNO Shields, UNO Carriers, Raspberry Pi HATs 🌐 2.5 Gbit Ethernet, Wi-Fi 6, Bluetooth, CAN-FD ⚙️ ROS 2 compatibility Sign up for updates:

39,595 views • 7 months ago

Start your engines… and your AI models!🚦 What an unforgettable day at Silverstone. 🏁 Hit play to hear from Arduino’s Stefano Implicito and Qualcomm's Julie Yamamoto as they look back on an incredible Arduino UNO Q workshop with Mission 44.

Start your engines… and your AI models!🚦 What an unforgettable day at Silverstone. 🏁 Hit play to hear from Arduino’s Stefano Implicito and Qualcomm's Julie Yamamoto as they look back on an incredible Arduino UNO Q workshop with Mission 44.

15,671 views • 2 months ago

Do more for less! Explore the ways Arduino UNO Q crushes overpriced, complicated hardware with a single, unified platform:

Do more for less! Explore the ways Arduino UNO Q crushes overpriced, complicated hardware with a single, unified platform:

15,615 views • 3 months ago

Predefined models offer a powerful starting point for understanding edge AI. However, Christopher shares how you can easily expand those capabilities by training and deploying your own models in Arduino App Lab through its native Edge Impulse integration.

Predefined models offer a powerful starting point for understanding edge AI. However, Christopher shares how you can easily expand those capabilities by training and deploying your own models in Arduino App Lab through its native Edge Impulse integration.

14,618 views • 2 months ago

20 years of Arduino — and the journey is just beginning! Join us as we come together with our global community to celebrate the past, present, and future of open-source innovation. SAVE THE DATE: March 21st-22nd. Stay tuned for more details!

20 years of Arduino — and the journey is just beginning! Join us as we come together with our global community to celebrate the past, present, and future of open-source innovation. SAVE THE DATE: March 21st-22nd. Stay tuned for more details!

51,854 views • 1 year ago

Volos Projects tests out the speed and performance of the new Arduino Nano ESP32:

Volos Projects tests out the speed and performance of the new Arduino Nano ESP32:

56,012 views • 3 years ago

Listen to this Redditor's Arduino-driven MIDI machine make music using stepper motors:

Listen to this Redditor's Arduino-driven MIDI machine make music using stepper motors:

13,444 views • 1 year ago

No more content to load